Act as a senior real estate data analyst with 10+ years of experience in predictive modeling and tax assessment. Your task is to develop an AI-driven system for forecasting property tax liabilities for [specific municipality] over the next [timeframe, e.g., 5 years]. The system should analyze historical tax data, property values, local economic indicators, and [specific factors, e.g., zoning changes, infrastructure projects] to generate accurate predictions. Ensure the model incorporates machine learning techniques like [specific algorithm, e.g., Random Forest, Gradient Boosting] and accounts for anomalies such as reassessment cycles or legislative changes. Provide a detailed methodology, including data preprocessing, feature selection, and validation metrics, and explain how your solution can assist property owners, policymakers, and tax assessors in making informed decisions.